Imagine that we want to extract all the hybrid cars from our database. As you understand, doing it manually is a worthless job and has to be automated.

Surely it has already been implemented! To filter observations based on columns with text use `WHERE` statement. For example,

SELECT *
FROM audi_cars
WHERE fueltype = 'Hybrid'

This query will return all the Hybrid cars.

> Please note, that in that case, you have to use **single** quotes, not double!

SQL is a domain-specific programming language widely used by data scientists, analysts, etc for manipulating and extracting necessary data. Nowadays, SQL is a must-have point in the CV for every potential analyst, data scientist. In this course, you will be introduced to the very basics of SQL.

In this section, you will be introduced to the very basics of SQL: extracting one or multiple columns from a database.

In this section, you will learn how to filter observations so only necessary rows will be extracted.

In this section, you will learn about the usage of different aggregating functions for your table, such as minimum, maximum, average... 

In this section, you will learn how to sort your table, even having filters and aggregate functions applied to a table.

In this section, you will learn about grouping observations and usage of this principle.

This chapter is designed for users who have completed the previous sections and want to consolidate knowledge.

Word filtering

Solution

Word filtering

Solution